FPGA-Based Weighted DTW Framework with Hybrid Gait Symmetry Index for Real-Time Wearable Gait Classification
- DOI
- 10.3390/s26144644
- Published
- 2026-07-22
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s26144644,
title = {FPGA-Based Weighted DTW Framework with Hybrid Gait Symmetry Index for Real-Time Wearable Gait Classification},
author = {Kishore Vennela and Bukya Balaji and Mangali Chinna Chinnaiah and Siew-Kei Lam and Narambhatla Janardhan and Penmetsa Subramanyam Raju and Dodde Hari Krishna and Gaddam Divya Vani and Mudasar Basha},
year = {2026},
journal = {Sensors},
doi = {10.3390/s26144644},
url = {https://doi.org/10.3390/s26144644}
}RIS
TY - JOUR TI - FPGA-Based Weighted DTW Framework with Hybrid Gait Symmetry Index for Real-Time Wearable Gait Classification AU - Kishore Vennela AU - Bukya Balaji AU - Mangali Chinna Chinnaiah AU - Siew-Kei Lam AU - Narambhatla Janardhan AU - Penmetsa Subramanyam Raju AU - Dodde Hari Krishna AU - Gaddam Divya Vani AU - Mudasar Basha PY - 2026 JO - Sensors DO - 10.3390/s26144644 UR - https://doi.org/10.3390/s26144644 ER -
APA
Vennela, K., Balaji, B., Chinnaiah, M. C., Lam, S., Janardhan, N., Raju, P. S., Krishna, D. H., Vani, G. D., & Basha, M. (2026). FPGA-Based Weighted DTW Framework with Hybrid Gait Symmetry Index for Real-Time Wearable Gait Classification. Sensors. https://doi.org/10.3390/s26144644
Source records
- crossref · retrieved 2026-11-10T13:33:11.942Z